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software-ux-research

software-ux-research

github.com/podoDesign & UI29163 installsUpdated 1d ago
Repository

About software-ux-research

software-ux-research is a research-operations skill covering survey design, repository management, and usability testing. It is suited to teams managing research methods, data governance, and reporting across software UX work.

Key features

  1. 01Survey design and statistical planning
  2. 02Research repository governance
  3. 03Taxonomy and freshness management
  4. 04GDPR and PII classification
  5. 05Usability testing protocols
  6. 06Research reporting and severity matrices

Use cases

  1. 01Design surveys with sample-size planning
  2. 02Organize and maintain a research repository
  3. 03Plan usability tests and synthesize findings

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/podo/design-agent-skills --skill software-ux-research

After installing, type/software-ux-researchin Claude Code to confirm it loaded.

Bundled filesstub.yaml

Details

From the project README

software-ux-research

Catalogue stub — full skill: vasilyu1983/AI-Agents-public

Decision tree

  1. Is the full skill already installed?

    • Global: grep -q "^das:" ~/.agents/skills/software-ux-research/SKILL.md 2>/dev/null && echo "pointer" || echo "installed"
    • Project: grep -q "^das:" .agents/skills/software-ux-research/SKILL.md 2>/dev/null && echo "pointer" || echo "installed"
    • No das: block → full skill installed, invoke and proceed
    • das: block present → go to step 2

  2. Detect scope, then install:

    [ -e ~/.agents/skills/software-ux-research ] && echo "global" || echo "project"

    Global:

    npx skills add vasilyu1983/AI-Agents-public --skill software-ux-research -g -y

    Project:

    npx skills add vasilyu1983/AI-Agents-public --skill software-ux-research -y

    Claude Code: send either command as a chat message starting with ! to run it without leaving the conversation.

What it does

A research-ops powerhouse (~15–19KB per topic): survey-design (Likert/NPS/SUS, sample-size math with finite-population correction, bias rewrites, full stats), research-repository management (governance, taxonomy ownership, decay/freshness, GDPR/PII classification, adoption ROI), and usability testing (think-aloud protocols, SEQ/ASQ/SUS, severity matrices, reporting). Web research picked this over Owl’s thinner research skills.

When NOT to use

  • Lightweight single-method help → may be heavier than needed
  • AI-moderated/synthetic interviews → use user-research-cookiy

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